Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding

Multidimensional single‐cell analysis requires approaches to visualize complex data in intuitive 2D graphs. In this regard, t‐distributed stochastic neighboring embedding (tSNE) is the most popular algorithm for single‐cell RNA sequencing and cytometry by time‐of‐flight (CyTOF), but its application...

Descripción completa

Detalles Bibliográficos
Autores principales: Mazza, Emilia Maria Cristina, Brummelman, Jolanda, Alvisi, Giorgia, Roberto, Alessandra, De Paoli, Federica, Zanon, Veronica, Colombo, Federico, Roederer, Mario, Lugli, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2018
Materias:
Editor's Choice
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175173/
https://www.ncbi.nlm.nih.gov/pubmed/30107099
http://dx.doi.org/10.1002/cyto.a.23566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175173/
https://www.ncbi.nlm.nih.gov/pubmed/30107099
http://dx.doi.org/10.1002/cyto.a.23566

Ejemplares similares